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matplotlib绘制多子图共享鼠标光标的方法示例

python 搞代码 4年前 (2022-01-08) 14次浏览 已收录 0个评论

这篇文章主要介绍了matplotlib绘制多子图共享鼠标光标的方法示例,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一起学习学习吧

matplotlib官方除了提供了鼠标十字光标的示例,还提供了同一图像内多子图共享光标的示例,其功能主要由widgets模块中的MultiCursor类提供支持。

MultiCursor类与Cursor类参数类似,差异主要在:

  • Cursor类参数只有一个ax,即需要显示光标的子图;MultiCursor类参数为canvasaxes,其中axes为需要共享光标的子图列表。
  • Cursor类中,光标默认是十字线;MultiCursor类中,光标默认为竖线。

官方示例

 import numpy as np import matplotlib.pyplot as plt from matplotlib.widgets import MultiCursor t = np.arange(0.0, 2.0, 0.01) s1 = np.sin(2*np.pi*t) s2 = np.sin(4*np.pi*t) fig, (ax1, ax2) = plt.subplots(2, sharex=True) ax1.plot(t, s1) ax2.plot(t, s2) multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1) plt.show()

简易修改版

 multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1, horizOn=True, vertOn=True)

MultiCursor类源码

 class MultiCursor(Widget): """ Provide a vertical (default) and/or horizontal line cursor shared between multiple axes. For the cursor to remain responsive you must keep a reference to it. Example usage:: from matplotlib.widgets import MultiCursor import matplotlib.pyplot as plt import numpy as np fig, (ax1, ax2) = plt.subplots(nrows=2, sharex=True) t = np.arange(0.0, 2.0, 0.01) ax1.plot(t, np.sin(2*np.pi*t)) ax2.plot(t, np.sin(4*np.pi*t)) multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1, horizOn=False, vertOn=True) plt.show() """ def __init__(self, canvas, axes, useblit=True, horizOn=False, vertOn=True, **lineprops): self.canvas = canvas self.axes = axes self.horizOn = horizOn self.vertOn = vertOn xmin, xmax = axes[-1].get_xlim() ymin, ymax = axes[-1].get_ylim() xmid = 0.5 * (xmin + xmax) ymid = 0.5 * (ymin + ymax) self.visible = True self.useblit = useblit and self.canvas.supports_blit self.background = None self.needclear = False if self.useblit: lineprops['animated'<em style="color:transparent">来源[email protected]搞@^&代*@码)网</em>] = True if vertOn: self.vlines = [ax.axvline(xmid, visible=False, **lineprops) for ax in axes] else: self.vlines = [] if horizOn: self.hlines = [ax.axhline(ymid, visible=False, **lineprops) for ax in axes] else: self.hlines = [] self.connect() def connect(self): """Connect events.""" self._cidmotion = self.canvas.mpl_connect('motion_notify_event', self.onmove) self._ciddraw = self.canvas.mpl_connect('draw_event', self.clear) def disconnect(self): """Disconnect events.""" self.canvas.mpl_disconnect(self._cidmotion) self.canvas.mpl_disconnect(self._ciddraw) def clear(self, event): """Clear the cursor.""" if self.ignore(event): return if self.useblit: self.background = ( self.canvas.copy_from_bbox(self.canvas.figure.bbox)) for line in self.vlines + self.hlines: line.set_visible(False) def onmove(self, event): if self.ignore(event): return if event.inaxes is None: return if not self.canvas.widgetlock.available(self): return self.needclear = True if not self.visible: return if self.vertOn: for line in self.vlines: line.set_xdata((event.xdata, event.xdata)) line.set_visible(self.visible) if self.horizOn: for line in self.hlines: line.set_ydata((event.ydata, event.ydata)) line.set_visible(self.visible) self._update() def _update(self): if self.useblit: if self.background is not None: self.canvas.restore_region(self.background) if self.vertOn: for ax, line in zip(self.axes, self.vlines): ax.draw_artist(line) if self.horizOn: for ax, line in zip(self.axes, self.hlines): ax.draw_artist(line) self.canvas.blit() else: self.canvas.draw_idle()

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